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使用 ThreadPoolExecutor 管理多线程#xff1a;
使用 concurrent.futures.ThreadPoolExecutor 来管理多线程#xff0c;这样可以更高效地处理图像。 在 main 函数中创建一个 ThreadPoolExecutor#xff0c;并在每个循环中提交图像处理任务。 减少…主要改进点
使用 ThreadPoolExecutor 管理多线程
使用 concurrent.futures.ThreadPoolExecutor 来管理多线程这样可以更高效地处理图像。 在 main 函数中创建一个 ThreadPoolExecutor并在每个循环中提交图像处理任务。 减少不必要的图像转换
尽量减少图像格式之间的转换以减少计算开销。 使用更高效的算法
选择了更高效的滤波器和对焦方法例如 cv2.fastNlMeansDenoisingColored 和 cv2.Laplacian。
import cv2
import os
import numpy as np
from PIL import Image, ImageDraw, ImageFont
import datetime
import webbrowser
import logging
import concurrent.futures
import queue# 配置日志
logging.basicConfig(levellogging.INFO, format%(asctime)s - %(levelname)s - %(message)s)# 检查并创建保存照片和视频的文件夹
def create_folder(folder_name):if not os.path.exists(folder_name):os.makedirs(folder_name)return folder_name# 获取文件夹中的最大编号
def get_next_file_number(folder_name, file_extension):files os.listdir(folder_name)files [f for f in files if f.endswith(file_extension)]if files:numbers [int(f.split(.)[0]) for f in files]return max(numbers) 1else:return 1# 将PIL图像转换为OpenCV图像
def pil_to_cv(image):return cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)# 自动曝光调整
def auto_exposure(frame, exposure_value):frame cv2.convertScaleAbs(frame, alphaexposure_value, beta0)return frame# 自动对焦
def auto_focus(frame):gray cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)laplacian cv2.Laplacian(gray, cv2.CV_64F).var()if laplacian 100: # 如果图像模糊进行对焦frame cv2.fastNlMeansDenoisingColored(frame, None, 10, 10, 7, 21)return frame# 鼠标回调函数
def mouse_callback(event, x, y, flags, param):global next_photo_number, next_video_number, running, recording, out, frame, scale_factor, cam_index, roi, button_hints, show_buttons, show_help, frame_width, frame_heightbutton_width int(frame_width * 0.05) # 按钮区域宽度占界面宽度的1/20button_height 40 # 每个按钮的高度if event cv2.EVENT_LBUTTONDOWN:if 10 x button_width and 10 y 50: # 关闭按钮区域running Falseelif 10 x button_width and 70 y 70 button_height: # 拍照按钮区域threading.Thread(targetsave_photo, args(frame.copy(), next_photo_number)).start()next_photo_number 1elif 10 x button_width and 120 y 120 button_height: # 开始/停止录像按钮区域if not recording:start_recording()else:stop_recording()elif 10 x button_width and 170 y 170 button_height: # 放大按钮区域scale_factor min(3.0, scale_factor * 2)elif 10 x button_width and 220 y 220 button_height: # 缩小按钮区域scale_factor max(1.0, scale_factor / 2)elif 10 x button_width and 270 y 270 button_height: # 切换摄像头按钮区域switch_camera()elif 10 x button_width and 320 y 320 button_height: # 查看照片按钮区域open_photo_folder()elif 10 x button_width and 370 y 370 button_height: # 查看视频按钮区域open_video_folder()elif 10 x button_width and 420 y 420 button_height: # 去除噪点按钮区域apply_denoise()elif 10 x button_width and 470 y 470 button_height: # 功能菜单按钮区域show_buttons not show_buttonselif 10 x button_width and 520 y 520 button_height: # 功能说明按钮区域show_help not show_helpelif event cv2.EVENT_RBUTTONDOWN:roi[0], roi[1] x, yelif event cv2.EVENT_RBUTTONUP:roi[2], roi[3] x - roi[0], y - roi[1]if roi[2] 0:roi[0] roi[2]roi[2] -roi[2]if roi[3] 0:roi[1] roi[3]roi[3] -roi[3]elif event cv2.EVENT_MOUSEMOVE:button_hints []button_width int(frame_width * 0.05) # 按钮区域宽度占界面宽度的1/20button_height 40 # 每个按钮的高度if 10 x button_width and 10 y 50:button_hints.append(关闭)elif 10 x button_width and 70 y 70 button_height:button_hints.append(拍照)elif 10 x button_width and 120 y 120 button_height:button_hints.append(录像)elif 10 x button_width and 170 y 170 button_height:button_hints.append(放大)elif 10 x button_width and 220 y 220 button_height:button_hints.append(缩小)elif 10 x button_width and 270 y 270 button_height:button_hints.append(切换摄像头)elif 10 x button_width and 320 y 320 button_height:button_hints.append(查看照片)elif 10 x button_width and 370 y 370 button_height:button_hints.append(查看视频)elif 10 x button_width and 420 y 420 button_height:button_hints.append(去除噪点)elif 10 x button_width and 470 y 470 button_height:button_hints.append(功能菜单)elif 10 x button_width and 520 y 520 button_height:button_hints.append(功能说明)# 保存照片
def save_photo(frame, photo_number):file_path os.path.join(photo_folder, f{photo_number}.jpg)# 去除界面上的按钮clean_frame remove_buttons(frame)# 裁剪区域clean_frame clean_frame[roi[1]:roi[1] roi[3], roi[0]:roi[0] roi[2]]# 添加时间戳clean_frame add_timestamp(clean_frame)try:cv2.imwrite(file_path, clean_frame)logging.info(f照片已保存为 {file_path})except Exception as e:logging.error(f保存照片时出错: {e})# 去除界面上的按钮
def remove_buttons(frame):pil_image Image.fromarray(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))draw ImageDraw.Draw(pil_image)button_width int(frame_width * 0.05) # 按钮区域宽度占界面宽度的1/20draw.rectangle((0, 0, button_width, frame_height), fill(0, 0, 0, 0)) # 透明填充return pil_to_cv(pil_image)# 添加时间戳
def add_timestamp(image):now datetime.datetime.now().strftime(%Y-%m-%d %H:%M:%S)pil_image Image.fromarray(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))draw ImageDraw.Draw(pil_image)draw.text((10, 10), now, fontfont, fill(255, 255, 255))return pil_to_cv(pil_image)# 开始录像
def start_recording():global out, recording, framefile_path os.path.join(video_folder, f{next_video_number}.mp4)fourcc cv2.VideoWriter_fourcc(*XVID)out cv2.VideoWriter(file_path, fourcc, 20.0, (roi[2], roi[3]))recording Truelogging.info(f开始录像: {file_path})# 停止录像
def stop_recording():global out, recordingtry:out.release()recording Falselogging.info(录像已保存)except Exception as e:logging.error(f停止录像时出错: {e})# 切换摄像头
def switch_camera():global cap, cam_indexcap.release()cam_index (cam_index 1) % 2 # 切换到下一个摄像头cap cv2.VideoCapture(cam_index)if not cap.isOpened():logging.error(无法打开摄像头)running False# 打开照片文件夹
def open_photo_folder():folder_path os.path.abspath(photo_folder)webbrowser.open(folder_path)# 打开视频文件夹
def open_video_folder():folder_path os.path.abspath(video_folder)webbrowser.open(folder_path)# 应用去噪点滤镜
def apply_denoise():global filter_typefilter_type denoise# 绘制按钮
def draw_buttons(pil_image, font, show_buttons):draw ImageDraw.Draw(pil_image)button_width int(frame_width * 0.05) # 按钮区域宽度占界面宽度的1/20button_height 40 # 每个按钮的高度buttons [((10, 10, button_width, 50), 关闭, (0, 0, 255)),((10, 70, button_width, 70 button_height), 拍照, (255, 0, 0)),((10, 120, button_width, 120 button_height), 录像, (0, 255, 0)),((10, 170, button_width, 170 button_height), 放大, (0, 255, 255)),((10, 220, button_width, 220 button_height), 缩小, (0, 255, 255)),((10, 270, button_width, 270 button_height), 切换摄像头, (255, 255, 0)),((10, 320, button_width, 320 button_height), 查看照片, (255, 165, 0)),((10, 370, button_width, 370 button_height), 查看视频, (255, 165, 0)),((10, 420, button_width, 420 button_height), 去除噪点, (255, 165, 0)),((10, 470, button_width, 470 button_height), 功能菜单, (255, 165, 0)),((10, 520, button_width, 520 button_height), 功能说明, (255, 165, 0))]for (x1, y1, x2, y2), text, color in buttons:if show_buttons or y1 470:draw.rectangle((x1, y1, x2, y2), fillcolor)draw.text((x1 10, y1 10), text, fontfont, fill(255, 255, 255))# 绘制提示信息
def draw_hints(pil_image, hints, font):draw ImageDraw.Draw(pil_image)button_width int(frame_width * 0.05) # 按钮区域宽度占界面宽度的1/20for i, hint in enumerate(hints):draw.text((10, frame_height - 10 - (i 1) * 30), hint, fontfont, fill(0, 255, 0))# 绘制功能说明
def draw_help(pil_image, font):draw ImageDraw.Draw(pil_image)help_text [功能说明:,q: 退出程序,g: 应用灰度滤镜,b: 应用模糊滤镜,r: 恢复原图,功能菜单: 显示/隐藏功能按钮,功能说明: 显示/隐藏功能说明]for i, text in enumerate(help_text):draw.text((10, 10 i * 30), text, fontfont, fill(255, 255, 255))# 应用图像滤镜
def apply_filter(image, filter_type):if filter_type grayscale:return cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)elif filter_type blur:return cv2.GaussianBlur(image, (15, 15), 0)elif filter_type denoise:return cv2.fastNlMeansDenoisingColored(image, None, denoise_strength, 10, 7, 21)return image# 处理图像的线程
def process_frame(frame, exposure_value, filter_type, scale_factor, roi, result_queue):frame auto_exposure(frame, exposure_value)frame auto_focus(frame)frame apply_filter(frame, filter_type)frame cv2.resize(frame, None, fxscale_factor, fyscale_factor, interpolationcv2.INTER_LINEAR)frame_height, frame_width, _ frame.shaperoi_x max(0, min(roi[0], frame_width - 1))roi_y max(0, min(roi[1], frame_height - 1))roi_width max(0, min(roi[2], frame_width - roi_x))roi_height max(0, min(roi[3], frame_height - roi_y))roi [roi_x, roi_y, roi_width, roi_height]result_queue.put((frame, roi))# 主函数
def main():global running, frame, photo_folder, video_folder, next_photo_number, next_video_number, recording, out, scale_factor, cam_index, roi, button_hints, filter_type, cap, font, show_buttons, show_help, frame_width, frame_height, exposure_value, denoise_strengthphoto_folder photosvideo_folder videoscreate_folder(photo_folder)create_folder(video_folder)next_photo_number get_next_file_number(photo_folder, .jpg)next_video_number get_next_file_number(video_folder, .mp4)running Truerecording Falseout Nonescale_factor 1.0cam_index 0button_hints []filter_type Noneshow_buttons Falseshow_help Falseexposure_value 1.0denoise_strength 10try:cap cv2.VideoCapture(cam_index)if not cap.isOpened():raise RuntimeError(无法打开摄像头)except Exception as e:logging.error(f错误: {e})returncv2.namedWindow(摄像头)cv2.setMouseCallback(摄像头, mouse_callback)# 创建滑动条cv2.createTrackbar(曝光, 摄像头, 100, 200, lambda x: set_exposure(x / 100.0))cv2.createTrackbar(去噪强度, 摄像头, 10, 20, lambda x: set_denoise_strength(x))# 使用支持中文的字体文件font_path simhei.ttf # 确保这个路径指向你的 simhei.ttf 文件font ImageFont.truetype(font_path, 20)# 初始化ROIRegion of Interestroi [0, 0, 1920, 1080]result_queue queue.Queue()with concurrent.futures.ThreadPoolExecutor(max_workers4) as executor:while running:ret, frame cap.read()if not ret:logging.error(无法获取帧)break# 使用多线程处理图像future executor.submit(process_frame, frame, exposure_value, filter_type, scale_factor, roi, result_queue)frame, roi result_queue.get()# 获取当前帧的尺寸frame_height, frame_width, _ frame.shape# 将OpenCV图像转换为PIL图像pil_image Image.fromarray(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))# 绘制按钮draw_buttons(pil_image, font, show_buttons)# 绘制ROI区域draw ImageDraw.Draw(pil_image)draw.rectangle((roi[0], roi[1], roi[0] roi[2], roi[1] roi[3]), outline(0, 255, 0), width2)# 显示当前照片编号和缩放比例draw.text((10, 430), f当前照片编号: {next_photo_number}, fontfont, fill(0, 255, 0))draw.text((10, 460), f当前缩放比例: {scale_factor:.1f}x, fontfont, fill(0, 255, 0))# 绘制提示信息draw_hints(pil_image, button_hints, font)# 绘制功能说明if show_help:draw_help(pil_image, font)# 显示程序名称draw.text((10, 5), 天眼, fontfont, fill(255, 255, 255))# 将PIL图像转换回OpenCV图像frame pil_to_cv(pil_image)cv2.imshow(摄像头, frame)key cv2.waitKey(1) 0xFFif key ord(q): # 按 q 键退出running Falseelif key ord(g): # 按 g 键应用灰度滤镜filter_type grayscaleelif key ord(b): # 按 b 键应用模糊滤镜filter_type blurelif key ord(r): # 按 r 键恢复原图filter_type None# 检查窗口是否被关闭if cv2.getWindowProperty(摄像头, cv2.WND_PROP_VISIBLE) 1:running Falseif recording:out.write(frame[roi[1]:roi[1] roi[3], roi[0]:roi[0] roi[2]])if recording:stop_recording()cap.release()cv2.destroyAllWindows()# 设置曝光值
def set_exposure(value):global exposure_valueexposure_value valuelogging.info(f曝光值设置为: {exposure_value})# 设置去噪点强度
def set_denoise_strength(value):global denoise_strengthdenoise_strength valuelogging.info(f去噪点强度设置为: {denoise_strength})if __name__ __main__:main()
